Article

Automated Collaborative Filtering Applications for Online Recruitment Services

Authors:

Rachael Rafter,

Keith Bradley,

Barry SmythAuthors Info & Claims

AH '00: Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems

Pages 363 - 368

Published: 28 August 2000 Publication History

Abstract

Online recruitment services suffer from shortcomings due to traditional search techniques. Most users fail to construct queries that provide an adequate and accurate description of their (job) requirements, leading to imprecise search results. We investigate one potential solution that combines implicit profiling methods and automated collaborative filtering (ACF) techniques to build personalised query-less job recommendations. Two ACF strategies are implemented and evaluated in the JobFinder domain.

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Cited By

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Liu RRong WOuyang YXiong Z(2017)A hierarchical similarity based job recommendation service framework for university studentsFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-016-5570-y11:5(912-922)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s11704-016-5570-y
Najafabadi MMahrin M(2016)A systematic literature review on the state of research and practice of collaborative filtering technique and implicit feedbackArtificial Intelligence Review10.1007/s10462-015-9443-945:2(167-201)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1007/s10462-015-9443-9
Hong WLi LLi TPan WGrossman RUthurusamy RDhillon IKoren Y(2013)iHRProceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/2487575.2488199(1177-1185)Online publication date: 11-Aug-2013
https://dl.acm.org/doi/10.1145/2487575.2488199
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Published In

AH '00: Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems

August 2000

420 pages

ISBN:3540679103

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 28 August 2000

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Liu RRong WOuyang YXiong Z(2017)A hierarchical similarity based job recommendation service framework for university studentsFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-016-5570-y11:5(912-922)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s11704-016-5570-y
Najafabadi MMahrin M(2016)A systematic literature review on the state of research and practice of collaborative filtering technique and implicit feedbackArtificial Intelligence Review10.1007/s10462-015-9443-945:2(167-201)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1007/s10462-015-9443-9
Hong WLi LLi TPan WGrossman RUthurusamy RDhillon IKoren Y(2013)iHRProceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/2487575.2488199(1177-1185)Online publication date: 11-Aug-2013
https://dl.acm.org/doi/10.1145/2487575.2488199
Gupta ARothkrantz L(2012)JobScanProceedings of the 13th International Conference on Computer Systems and Technologies10.1145/2383276.2383327(352-359)Online publication date: 22-Jun-2012
https://dl.acm.org/doi/10.1145/2383276.2383327
Abdelwahab ASekiya HMatsuba IHoriuchi YKuroiwa SKotsis GTaniar DPardede E(2009)Collaborative filtering based on an iterative prediction method to alleviate the sparsity problemProceedings of the 11th International Conference on Information Integration and Web-based Applications & Services10.1145/1806338.1806406(375-379)Online publication date: 14-Dec-2009
https://dl.acm.org/doi/10.1145/1806338.1806406
Smyth B(2007)Case-based recommendationThe adaptive web10.5555/1768197.1768210(342-376)Online publication date: 1-Jan-2007
https://dl.acm.org/doi/10.5555/1768197.1768210
Rafter RSmyth B(2005)Conversational Collaborative Recommendation --- An Experimental AnalysisArtificial Intelligence Review10.1007/s10462-005-9004-824:3-4(301-318)Online publication date: 1-Nov-2005
https://dl.acm.org/doi/10.1007/s10462-005-9004-8
Rafter RSmyth B(2003)Item selection strategies for collaborative filteringProceedings of the 18th international joint conference on Artificial intelligence10.5555/1630659.1630889(1437-1439)Online publication date: 9-Aug-2003
https://dl.acm.org/doi/10.5555/1630659.1630889
Keenoy KLevene M(2003)Personalisation of web searchProceedings of the 2003 international conference on Intelligent Techniques for Web Personalization10.1007/11577935_11(201-228)Online publication date: 11-Aug-2003
https://dl.acm.org/doi/10.1007/11577935_11

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Trust-based collaborative filtering: tackling the cold start problem using regular equivalence

Online evolutionary collaborative filtering

Hybrid collaborative filtering for high-involvement products

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